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基于深度学习和代图像重建的无增强大脑CT:图像质量的定量比较

Andrea Cozzi1, Maurizio Cè2, Giuseppe De Padova2

  • 1Service of Radiology, Imaging Institute of Southern Switzerland (IIMSI), Ente Ospedaliero Cantonale (EOC), Via Tesserete 46, 6900 Lugano, Switzerland.

Tomography (Ann Arbor, Mich.)
|September 22, 2023
PubMed
概括

与代 (AIDR-3D) 方法相比,基于深度学习 (AiCE) 的重建在脑CT扫描中提供了较低的图像噪声和更高的对比度. 然而,AIDR-3D显示后中的文物较少,这表明大脑区域的性能各不相同.

关键词:
大脑计算机断层扫描 (CT)基于深度学习的重建算法.图像 噪音 图像 噪音图像质量 图像质量的质量代重建算法 代重建算法

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